Xuelong Hu

2.8k total citations · 1 hit paper
152 papers, 1.6k citations indexed

About

Xuelong Hu is a scholar working on Statistics, Probability and Uncertainty, Statistics and Probability and Computer Vision and Pattern Recognition. According to data from OpenAlex, Xuelong Hu has authored 152 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 80 papers in Statistics, Probability and Uncertainty, 37 papers in Statistics and Probability and 28 papers in Computer Vision and Pattern Recognition. Recurrent topics in Xuelong Hu's work include Advanced Statistical Process Monitoring (77 papers), Scientific Measurement and Uncertainty Evaluation (53 papers) and Advanced Statistical Methods and Models (36 papers). Xuelong Hu is often cited by papers focused on Advanced Statistical Process Monitoring (77 papers), Scientific Measurement and Uncertainty Evaluation (53 papers) and Advanced Statistical Methods and Models (36 papers). Xuelong Hu collaborates with scholars based in China, France and Pakistan. Xuelong Hu's co-authors include Philippe Castagliola, Jinsheng Sun, Anan Tang, Ben Wang, Shuhan Chen, Shuhan Chen, Michael B. C. Khoo, Huchuan Lu, Yun Fu and Xinting Yang and has published in prestigious journals such as PLoS ONE, Chemical Engineering Journal and IEEE Transactions on Image Processing.

In The Last Decade

Xuelong Hu

141 papers receiving 1.5k citations

Hit Papers

Real-time detection of uneaten feed pellets in underwater... 2021 2026 2022 2024 2021 50 100 150 200

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Xuelong Hu China 20 619 426 301 190 143 152 1.6k
Elena Zaitseva Slovakia 20 251 0.4× 98 0.2× 45 0.1× 155 0.8× 45 0.3× 137 1.3k
Vitaly Levashenko Slovakia 20 230 0.4× 94 0.2× 45 0.1× 156 0.8× 41 0.3× 105 1.2k
Ping Jiang China 21 179 0.3× 122 0.3× 193 0.6× 193 1.0× 27 0.2× 92 1.3k
Mehdi Ghatee Iran 20 40 0.1× 214 0.5× 326 1.1× 396 2.1× 378 2.6× 74 1.6k
Xiaoyan Su China 18 366 0.6× 52 0.1× 116 0.4× 197 1.0× 557 3.9× 65 1.3k
Rupesh Gupta India 20 34 0.1× 233 0.5× 97 0.3× 47 0.2× 58 0.4× 210 1.3k
Melanie Po‐Leen Ooi Malaysia 19 135 0.2× 146 0.3× 14 0.0× 78 0.4× 20 0.1× 94 1.0k
Lei Xiao China 22 141 0.2× 56 0.1× 20 0.1× 689 3.6× 45 0.3× 87 1.6k
Bruce E. Ankenman United States 18 312 0.5× 24 0.1× 110 0.4× 81 0.4× 801 5.6× 75 1.6k
Éric Lefèvre France 15 53 0.1× 80 0.2× 48 0.2× 211 1.1× 256 1.8× 47 928

Countries citing papers authored by Xuelong Hu

Since Specialization
Citations

This map shows the geographic impact of Xuelong Hu's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Xuelong Hu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xuelong Hu more than expected).

Fields of papers citing papers by Xuelong Hu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Xuelong Hu. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Xuelong Hu. The network helps show where Xuelong Hu may publish in the future.

Co-authorship network of co-authors of Xuelong Hu

This figure shows the co-authorship network connecting the top 25 collaborators of Xuelong Hu. A scholar is included among the top collaborators of Xuelong Hu based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Xuelong Hu. Xuelong Hu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Hu, Xuelong, et al.. (2025). A comparison of MEWMA and MCUSUM control charts for monitoring bivariate Weibull distribution. Communication in Statistics- Theory and Methods. 54(23). 7630–7650. 1 indexed citations
3.
Hu, Xuelong, et al.. (2025). An adaptive multivariate EWMA chart for monitoring Gumbel's bivariate exponential distributed data. Ain Shams Engineering Journal. 16(8). 103437–103437.
4.
Teoh, Wei Lin, et al.. (2024). A new omnibus SPRT chart for monitoring process mean and variability based on the average number of observations to signal. Journal of Statistical Computation and Simulation. 95(1). 49–69.
5.
Zhang, Suying, et al.. (2024). Optimal design of adaptive EWMA monitoring schemes for the coefficient of variation and performance evaluation with measurement errors. Computers & Industrial Engineering. 191. 110107–110107. 5 indexed citations
6.
Hu, Xuelong, et al.. (2024). Evaluation of different DEWMA schemes for monitoring the ratio of two normal random variables. Journal of Computational and Applied Mathematics. 449. 115994–115994. 2 indexed citations
7.
Yeganeh, Ali, et al.. (2024). Using the attention layer mechanism in construction of a novel ratio control chart: An application to Ethereum price prediction and automated trading strategy. Engineering Applications of Artificial Intelligence. 141. 109652–109652. 3 indexed citations
8.
Castagliola, Philippe, et al.. (2024). The performance of the one-sided truncated exponentially weighted moving average X¯ control chart in the presence of measurement errors. Journal of Statistical Computation and Simulation. 94(10). 2089–2113. 1 indexed citations
9.
Hu, Xuelong, et al.. (2023). XGBoost with Q-learning for complex data processing in business logistics management. Information Processing & Management. 60(5). 103466–103466. 7 indexed citations
10.
Hu, Xuelong & Xiying Wang. (2023). Symbolic violence or semiotic mediator? Examining the regulative order through school rituals in China. International Journal of Educational Research. 124. 102305–102305. 1 indexed citations
11.
Saghir, Aamir, et al.. (2023). Optimal design and evaluation of adaptive EWMA monitoring schemes for Inverse Maxwell distribution. Computers & Industrial Engineering. 181. 109290–109290. 4 indexed citations
12.
Hu, Xuelong, Yitian Zhao, Ali Yeganeh, & Sandile Charles Shongwe. (2023). Improved EWMA schemes for monitoring the ratio of two normal random variables. Quality and Reliability Engineering International. 40(3). 1341–1360. 1 indexed citations
13.
Castagliola, Philippe, et al.. (2022). One-sided Adaptive Truncated Exponentially Weighted Moving Average X¯ Schemes for Detecting Process Mean Shifts. Quality Technology & Quantitative Management. 19(5). 533–561. 7 indexed citations
14.
Hu, Xuelong, et al.. (2022). Modified One-Sided EWMA Charts without- and with Variable Sampling Intervals for Monitoring a Normal Process. Symmetry. 14(1). 159–159. 3 indexed citations
15.
Hu, Xuelong, et al.. (2020). New One-Sided EWMA t Charts without and with Variable Sampling Intervals for Monitoring the Process Mean. Mathematical Problems in Engineering. 2020. 1–12. 3 indexed citations
16.
Hu, Xuelong, et al.. (2020). Analyzing the Investments Strategies for Renewable Energies Based on Multi-Criteria Decision Model. IEEE Access. 8. 118818–118840. 59 indexed citations
17.
Tang, Anan, Philippe Castagliola, Jinsheng Sun, & Xuelong Hu. (2018). Optimal design of the adaptive EWMA chart for the mean based on median run length and expected median run length. Quality Technology & Quantitative Management. 16(4). 439–458. 54 indexed citations
18.
Hu, Xuelong, et al.. (2014). Image in-painting based FMM algorithm by edge prediction using gradient matrix. 1 indexed citations
19.
Hu, Xuelong, et al.. (2013). Image segmentation based on graph theory in multi-color space for maize leaf disease.. Transactions of the Chinese Society of Agricultural Machinery. 44(2). 177–181. 7 indexed citations
20.
Hu, Xuelong, Bingjun Li, & Lei Xi. (2012). Multi-instance graph approach to wheat leaf disease segmentation. Nongye Gongcheng Xuebao. 28(13). 154–159. 4 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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